3 citations · 4 across the 6 of their papers we have counts for
6 papers
SCALEX: Scalable Concept and Latent Exploration for Diffusion Models
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
Image generation models frequently encode social biases, including stereotypes tied to gender, race, and profession. Existing methods for analyzing these biases in diffusion models…
SAMJAM: Zero-Shot Video Scene Graph Generation for Egocentric Kitchen Videos
Joshua Li, Fernando Jose Pena Cantu, Emily Yu +3
Video Scene Graph Generation (VidSGG) is an important topic in understanding dynamic kitchen environments. Current models for VidSGG require extensive training to produce scene gra…
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
Recent advances in image generation have made diffusion models powerful tools for creating high-quality images. However, their iterative denoising process makes understanding and i…
Understanding the Limitations of Diffusion Concept Algebra Through Food
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
Image generation techniques, particularly latent diffusion models, have exploded in popularity in recent years. Many techniques have been developed to manipulate and clarify the se…
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
Dayou Mao, Yuhao Chen, Yifan Wu +2
One of the main motivations of MTL is to develop neural networks capable of inferring multiple tasks simultaneously. While countless methods have been proposed in the past decade i…
MetaGraspNet_v0: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis
Yuhao Chen, E. Zhixuan Zeng, Maximilian Gilles +1
There has been increasing interest in smart factories powered by robotics systems to tackle repetitive, laborious tasks. One impactful yet challenging task in robotics-powered smar…